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Peer-reviewed. Clinically validated.

Callyope is built on open science. Our technology is developed with leading clinical and research institutions and validated in peer-reviewed publications. We publish our methods and submit every claim to independent scientific review.

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SLAP: Learning Speaker and Health-Related Representations from Natural Language Supervision

Ando* et al, 2025

Quantized Approximate Signal Processing (QASP): Towards Homomorphic Encryption for audio

Nguyen* et al, 2025

Robust fine-tuning of speech recognition models via model merging: application to disordered speech

Ducorroy* et al, 2025

In-context learning capabilities of Large Language Models to detect suicide risk among adolescents from speech transcripts

Roquefort* et al, 2025

Automated speech content analysis to detect depression with large language models: towards multilingual and few-shot capabilities.

Riad* et al, 2025

Quantized Approximate Signal Processing (QASP): Towards Homomorphic Encryption for audio

Nguyen* et al, 2025

Learning Strides in Convolutional Neural Networks

Zeghidour* et al, 2022